年別の研究成果
年別の研究成果
フィンガープリント
Laohakangvalvit Tippornが活動している研究トピックを掘り下げます。このトピックラベルは、この研究者の研究成果に基づきます。これらがまとまってユニークなフィンガープリントを構成します。
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ネットワーク
国/地域レベルにおける最近の外部共同研究。点をクリックして詳細を開くか、または
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Evaluation on Comfortable Arousal in Autonomous Driving Using Physiological Indexes
Sakashita, N., Jadram, N., Sripian, P., Laohakangvalvit, T. & Sugaya, M., 2022, Artificial Intelligence in HCI - 3rd International Conference, AI-HCI 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings. Degen, H. & Ntoa, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 305-316 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13336 LNAI).研究成果: Conference contribution
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Preliminary Study on Model Construction for Estimating Mental Illness and Developmental Disorders
Suzuki, K., Sugaya, M. & Laohakangvalvit, T., 2022, LifeTech 2022 - 2022 IEEE 4th Global Conference on Life Sciences and Technologies. Institute of Electrical and Electronics Engineers Inc., p. 327-330 4 p. (LifeTech 2022 - 2022 IEEE 4th Global Conference on Life Sciences and Technologies).研究成果: Conference contribution
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Comparison of Color Features of Kawaii Fashion Styles in Japan
Sripian, P., Miyatake, K., Laohakangvalvit, T. & Ohkura, M., 2021, Human-Computer Interaction. Theory, Methods and Tools - Thematic Area, HCI 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Proceedings. Kurosu, M. (ed.). Springer Science and Business Media Deutschland GmbH, p. 494-504 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12762 LNCS).研究成果: Conference contribution
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Comparison of Kawaii Feelings for Magnets with Different Shapes Between 2007 and Present
Ohkura, M. & Laohakangvalvit, T., 2021, Human-Computer Interaction. Theory, Methods and Tools - Thematic Area, HCI 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Proceedings. Kurosu, M. (ed.). Springer Science and Business Media Deutschland GmbH, p. 482-493 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12762 LNCS).研究成果: Conference contribution
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Constructing an emotion estimation model based on eeg/hrv indexes using feature extraction and feature selection algorithms
Suzuki, K., Laohakangvalvit, T., Matsubara, R. & Sugaya, M., 2021 5月 1, In: Sensors. 21, 9, 2910.研究成果: Article › 査読
Open Access6 被引用数 (Scopus)